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Business and Management (R0)

Limeng Chai

Enterprise Operational Optimization and Risk Management in an Omnichannel Context

&lt;p&gt;Chapter 1. &lt;strong&gt;Introduction&lt;/strong&gt;&lt;strong&gt;.- C&lt;/strong&gt;hapter 2. &lt;strong&gt;The definition of Omnichannel, Enterprise risk management, BOPS, Community group buying, digital transformation etc.- &lt;/strong&gt;Chapter 3. &lt;strong&gt;Pricing strategy for B&amp;amp;M store considering consumer showroom behavior in a dual-channel supply chain.- &lt;/strong&gt;Chapter 4. &lt;strong&gt;Pricing strategies for O2O business model considering service spillover and power structures.- &lt;/strong&gt;Chapter 5. &lt;strong&gt;Pricing and ordering strategies of fashion products considering consumer regret effect.- &lt;/strong&gt;Chapter 6. &lt;strong&gt;Sustainable Usage Intention of BOPS with Channel Integration Quality.- &lt;/strong&gt;Chapter 7. &lt;strong&gt;Sustainable Usage Intention of BOPS with Consumer Personality Trait.- &lt;/strong&gt;Chapter 8. &lt;strong&gt;Research on optimization strategy of community group-buying operation from dual perspective.- &lt;/strong&gt;Chapter 9. &lt;strong&gt;Research on intelligent level evaluation and optimization of modern logistics enterprises from the perspective of big data.- &lt;/strong&gt;Chapter 10. &lt;strong&gt;Analysis and evaluation of the digital transformation path of enterprises in the context of new retail - Taking Jingdong and Uniqlo as examples.&lt;/strong&gt;&lt;/p&gt;


This book explains what regulation is - and is not. It clarifies how regulation actually works, and how it can be made better. It also sets out how regulation should be done given fundamental challenges and changes to how we have done it. What is regulation trying to achieve? Is there too much red tape? Does regulation impede growth and innovation? Does regulation provide protection, and stability, and fair behaviours? Is it effective? How do we know if it succeeds? The book illustrates competing regulatory models, and how multiple tools work - but also how things need to work differently in the future. Given the pace of change in new technologies, creating unknown and uncontrollable risks, and the global nature of these technologies, we can only keep ourselves safe if we modernise how we 'do' regulation and work in collaborative ecosystems in which everyone works together to identify and control new harms. We should be aiming to achieve multiple outcomes, including protection as well as fair markets, facilitating innovation, and economic growth and social cohesion. The book elucidates how this is all possible - if we organise ourselves and behave in new ways. Examples show sectors where all of this is already being applied - in Australia, Canada, New Zealand, and the UK. This is a revolutionary book, and a must-read for anyone who wants to effect change in their regulatory spaces.

Transforming the Future of Regulatory Spaces

Regulation That Works

Shortlisted for the 2026 Unwin Award Polls show that over fifty per cent of us don't believe racism exists. In a world made for White people, The Science of Racism uses clear scientific research to expose what we know about racism, exactly how we know it, and what we can do about it. 'Charismatic and funny' - The Guardian 'Illuminating, surprising, unnerving, moving' - Sathnam Sanghera 'Short circuits the brain' - The Independent * British police are nine times more likely to use their tasers on Black people. * An item being advertised on eBay will sell for approximately twenty per cent less if a dark-skinned hand is shown in the photos. * Black Caribbean applicants have to apply for around fifty per cent more jobs in order to receive a positive response. Professor Keon West cuts through the divisive anecdotes and rhetoric with decades' worth of science - the data that reveals truths about racism that are shocking and tragic, but also (somehow) funny and entertaining. Whatever you've read before, this book will ensure that you never see racism in the same way again.

Everything you need to know but probably don't - yet

The Science of Racism

Economics and Finance (R0)

Chi-Wei Su

Oana-Ramona Lobon*

Ana-Cristina Nicolescu

Nicoleta Mihaela Doran

Policies, Practices, and Global Perspectives

Green Finance and the Challenges of Climate Change

Thomas Walker

Dieter Gramlich

The Palgrave Handbook of Sustainable Finance

Skills for Scholars

A fully updated and expanded third edition of the acclaimed writing guide for scientists The Scientist’s Guide to Writing explains the essential techniques that students, postdocs, and early-career scientists need to write more clearly, efficiently, and easily. Now in its third edition, this incisive primer offers practical advice on a host of topics, from maintaining writing momentum to structuring a scientific paper, revising a first draft, effective reading, handling citations, responding to peer reviews, and choosing the right journal for your research. The ability to write clearly is critical to any scientific career. This book shows scientists how to become better writers so that their ideas have the greatest possible impact.<ul><li>Features a new chapter on AI writing tools that discusses the benefits and pitfalls of using LLMs as well as the legal, ethical, and professional implications scientists need to consider before working with them</li><li>Provides expanded coverage of preprinting and predatory journals, humor and cultural references in titles, graphical abstracts, and managing very large coauthorship teams</li><li>Offers detailed guidance on submission, review, revision, and publication</li><li>Shares invaluable advice on reporting statistical results, dealing with conflicting peer reviews, writing with English as an additional language, and more</li><li>Encourages habits that improve motivation and productivity</li><li>Includes a wealth of exercises along with numerous new literature citations to support the discussions in the book</li></ul>

How to Write More Easily and Effectively Throughout Your Scientific Career

The Scientist’s Guide to Writing, 3rd Edition

Haufe Fachbuch

This book looks into different aspects of implementing ESG into real estate contracts from a European perspective. It covers general aspects, contract-type specific aspects and then property usage-type specific aspects. General topics cover legal frameworks, the social and governance perspective based on EU sustainable finance regulations. Contract-type specific questions cover different contract types. The team of authors then addresses specific issues relating to different types of property use such as office, retail, logistics, hospitality and data centres. The focus of the work is on EU, so that the content can provide food for thought for the work in different EU countries. The book thus supports practitioners in compiling their personal toolkit for use in individual cases.&nbsp;
Content:
<ul><li>Terms, concepts and basics of sustainability, CSR and ESG</li><li>What ESG in real estate contracts means</li><li>Standards for (non-financial) sustainability reporting, CSRD and ESRS</li><li>Climate litigation, energy and renewables, data</li><li>Sustainability and competition law, brownfields</li><li>Pre-contracts and recitals</li><li>ESG and real estate investment, leases, real estate financing</li></ul>

A guide and toolkit for practitioners from a European perspective

Implementing ESG into Real Estate Contracts

Springer Climate

From Crisis to Conscious Consumer Choices

Climate Change and Responsible Consumption

Law, Governance and Technology Series

The legal and regulatory landscape for artificial intelligence is shifting, and this is the book that will equip you to navigate it with clarity and authority.
 
 Gathering contributions from leading experts in the field, this edited volume provides one of the first in-depth examinations of the EU Artificial Intelligence Act (AI Act) in its final form. It is not a mere commentary. Rather, it delivers a critical and structured analysis of how the AI Act will reconfigure the governance of digital technologies in Europe and beyond.
 
 The chapters engage closely with the legal text, unpacking its architecture, regulatory logic, and underlying normative choices. Key elements of the framework - ranging from high-risk systems and prohibited practices to conformity assessments and the institutional role of national authorities - are examined in detail, with an eye to both doctrinal coherence and regulatory practice.
 
 Importantly, the volume situates the AI Act within the broader EU legal landscape, exploring its intersection with instruments such as the General Data Protection Regulation, the Medical Devices Regulation, and other sector-specific regimes. In doing so, it exposes synergies, tensions, and unresolved questions that will shape implementation and enforcement.
 
 The analysis is not confined to the European context. Dedicated chapters on the approaches adopted in non-EU jurisdictions provide a comparative dimension, highlighting both shared concerns and diverging regulatory philosophies. The result is a richer understanding of where global AI governance may be heading and how fragmented or coordinated it might become.
 
 Designed for legal scholars, practitioners, regulators, and policy experts, this book is more than a reference: it is an indispensable guide to the law that will define Europe’s approach to artificial intelligence for years to come.

Promises and Perils?

The European Artificial Intelligence Act

Great Thinkers in Marketing

The "Great Thinkers in Marketing" series highlights the significant contributions of the most influential scholars to marketing research, theory, and practice. The series and volume editors organize each legend's most impactful articles into several volumes as an anthology set. Volume editors also seek commentaries from other scholars familiar with the legend's work on the articles included in that volume. This set, comprising six volumes of contributions of Donald Lehmann, covers a broad spectrum of topics relating to customer behavior and decision-making processes, the estimation of stochastic models, empirical replication for theoretical generalization, advertising and branding, new product and innovation diffusion, and performance outcomes of marketing strategy. This volume, edited by Oded Netzer, synthesizes Lehmann's work on marketing analysis methods. Along with a collection of his related articles, it features an interview with Lehmann himself and three insightful commentaries from frequent co-authors. Showcasing Lehmann's work on mapping brand preference and perceptions relating to consumer choice, as well as stochastic estimation models, this volume will help marketing researchers of all levels of experience understand how marketing analysis methods have developed over the last 50+ years.Oded Netzer
 is Arthur J. Samberg Professor of Business at Columbia Business School. His expertise is developing quantitative methods that leverage data better to understand customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time and across contexts. He has developed a framework for managing firms' customer bases through dynamic segmentation. More recently, his research focuses on leveraging unstructured data for business applications. He is the author of 
 Decisions over Decimals
 .

Analysis Methods

The Research Contributions of Donald R. Lehmann to Marketing, Volume 2

Damon Gibbons

Rethinking Creditworthiness in the Data-Driven Age

Trust and Power in Consumer Credit Relationships

Vairos

Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming. Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore. New to this edition: -Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches -Walk-through videos of key processes hosted on the companion website This is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels. Accompanying online resources for this title can be found at bloomsburypub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost.

for Business, Management and Finance

Essential Quantitative Methods

Enterprise Operational Optimization and Risk Management in an Omnichannel Context

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